{"id":"W2013591294","doi":"10.1115/1.4007213","title":"Nonlinear Stress–Strain Characterization of Cast Iron Used to Manufacture Pipes for Water Supply","year":2012,"lang":"en","type":"article","venue":"Journal of Engineering Materials and Technology","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Thames Water","keywords":"Constitutive equation; Ultimate tensile strength; Structural engineering; Compression (physics); Tension (geology); Stress (linguistics); Bending; Deformation (meteorology); Nonlinear system; Compressive strength; Cast iron; Stress–strain curve; Materials science; Flexural strength; Law; Engineering; Finite element method; Composite material; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002292217,0.0001888857,0.0001220057,0.0008031157,0.0001880841,0.0001764242,0.0002557356,0.0002258746,0.0006009352],"category_scores_gemma":[0.000478847,0.0001154686,0.00008553773,0.0003011723,0.0003276952,0.00017335,0.0001044639,0.000157527,0.0001523681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003022712,"about_ca_system_score_gemma":0.0002383578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005981583,"about_ca_topic_score_gemma":0.01472849,"domain_scores_codex":[0.9998142,0.00001268055,0.000006745016,0.00001880864,0.0001331917,0.00001424798],"domain_scores_gemma":[0.9996936,0.00007257459,0.00005207623,0.00002965559,0.00013234,0.00001983162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001002908,0.00005118383,0.01032159,0.00009338668,0.000002863178,0.0001669878,0.0002100357,0.00581312,0.9638622,0.0002510973,0.0001303302,0.01899695],"study_design_scores_gemma":[0.000008925608,0.000419519,0.1088572,0.0000271237,0.000009697512,0.0003234329,0.0003155191,0.1078931,0.7794657,0.0002143041,0.002436911,0.00002863487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892352,0.0001312656,0.007856192,0.00002541011,0.000005237636,0.00002389724,0.000171359,0.00003659566,0.002514742],"genre_scores_gemma":[0.9950759,0.00009637544,0.003182448,0.000006007515,0.000001964925,0.000007982534,0.0001408954,0.000008255066,0.001480223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005981583,"threshold_uncertainty_score":0.01189357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005091353130122313,"score_gpt":0.192617021926736,"score_spread":0.1875256687966137,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}